Virus interactions with human signal transduction pathways. - Zhongming Zhao; Junfeng Xia; Öznur Tastan; Irtisha Singh; Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Int. J. Comput. Biol. Drug Des., 2011)

Techniques to cope with missing data in host-pathogen protein interaction prediction. - Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Bioinform., 2012)

Multitask learning for host-pathogen protein interactions. - Meghana Kshirsagar 001; Jaime G. Carbonell; Judith Klein-Seetharaman (Bioinform., 2013)

Frame-Semantic Role Labeling with Heterogeneous Annotations. - Meghana Kshirsagar 001; Sam Thomson; Nathan Schneider 001; Jaime G. Carbonell; Noah A. Smith; Chris Dyer (ACL (2), 2015)

Learning Task Clusters via Sparsity Grouped Multitask Learning. - Meghana Kshirsagar 001; Eunho Yang; Aurélie C. Lozano (ECML/PKDD (2), 2017)

Multitask Matrix Completion for Learning Protein Interactions Across Diseases. - Meghana Kshirsagar 001; Keerthiram Murugesan; Jaime G. Carbonell; Judith Klein-Seetharaman (J. Comput. Biol., 2017)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 2021)

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. - Meghana Kshirsagar 001; Nure Tasnina; Michael D. Ward; Jeffrey N. Law; T. M. Murali 001; Juan M. Lavista Ferres; Gregory R. Bowman; Judith Klein-Seetharaman (PSB, 2021)

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres (CoRR, 2021)

Combine and conquer: methods for multitask learning in biology and language - Meghana Kshirsagar 001 (2022)

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres; Rafael de Sousa (CoRR, 2023)